Deep Learning experiments
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Updated
Apr 2, 2023 - Python
Deep Learning experiments
Custom rendered 3D environment based on basic java graphical applet library.
Official Code for 'TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes' (CVPR 2024)
3D Human Generation With Mesh From 2D Images
Zero-shot, text-driven appearance manipulation on multiple views of an object to generate 3D renderings.
3D-GAN able to generate small villages (settlements) on Minecraft
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
Point Transformer Diffusion is a novel generative model for 3D point cloud generation, which integrates the classical diffusion model and a local self-attention network.
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
Keras implementation of 3dgan
Studio-YAIVERSE : Text-guided 3D synthesis by GET3D + NADA
A Collection of AIGC Research Groups
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)
[CVPR 2021] Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses
[CVPR 2024] EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
This is an open collection of state-of-the-art (SOTA), novel Text to X (X can be everything) methods (papers, codes and datasets).
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
Official implementation of Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior
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